Lalith Donkina is a pragmatic software engineer with 8 years of experience turning messy requirements and legacy systems into reliable, scalable products across backend, full-stack, and AI-enabled platforms. He has built Java/Spring Boot and Python/FastAPI services, React/TypeScript UIs, SQL-driven data pipelines, and production integrations for clients including Microsoft and TD Bank, and now focuses on reliability and auth for a Firefox-based AI browser at Kahana. Lalith excels at API design, system integration, debugging, and performance optimization, and has a track record of reducing QA churn by improving observability, runbooks, and error handling. His background in data science (MS, UMBC) and hands-on work with RAG and multi-agent GPT workflows gives him a practical edge when shipping AI features that need predictable behavior. Colleagues rely on him to deliver clean architecture and measurable impact—faster systems, clearer integrations, and less operational noise.
8 years of coding experience
5 years of employment as a software developer
UMBC
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at JNTUH College of Engineering Hyderabad
Data Structures and Algorithms (DSA) Preparation sheet
Contributions:184 commits, 4 PRs, 94 pushes in 1 year 11 months
javadata-structuresdatastructuresleetcode
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